{"id":"W4382562052","doi":"10.1016/j.jacr.2023.04.019","title":"Appropriate Reliance on Artificial Intelligence in Radiology Education","year":2023,"lang":"en","type":"article","venue":"Journal of the American College of Radiology","topic":"Radiology practices and education","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Radiology; Computer science; Perception; Human intelligence; Medicine; Artificial intelligence; Medical education; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871335,0.0001055864,0.0005808502,0.0004692224,0.00004519856,0.000001906254,0.0002708158,0.00007794042,0.00001724561],"category_scores_gemma":[0.00132755,0.00007056068,0.0001396666,0.001173974,0.0004859052,0.00005689886,0.00002539998,0.000455494,0.00002003096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500434,"about_ca_system_score_gemma":0.0007521136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003893767,"about_ca_topic_score_gemma":0.000008361371,"domain_scores_codex":[0.9984155,0.0004184752,0.0006619929,0.0001539397,0.0001329586,0.0002171497],"domain_scores_gemma":[0.9977595,0.0005243309,0.001221969,0.000277336,0.0001498159,0.0000670088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02095412,0.003186566,0.2137176,0.0002378175,0.0009047314,0.0004901239,0.003372638,0.0126672,0.08890692,0.05717712,0.1571882,0.4411969],"study_design_scores_gemma":[0.0009737178,0.008727172,0.904552,0.0004364461,0.0002813506,0.01839164,0.01100847,0.003172802,0.004346916,0.0287268,0.0190254,0.0003572213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968759,0.0002777398,0.00009226137,0.02838101,0.00192854,0.0001932632,0.000004488574,0.00000721498,0.0003564607],"genre_scores_gemma":[0.9957302,0.001155104,0.001276273,0.0009682754,0.0005390571,0.00000738541,0.000001826265,0.00001181558,0.0003101162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6908344,"threshold_uncertainty_score":0.2877381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03064242677081367,"score_gpt":0.3433770100540398,"score_spread":0.3127345832832261,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}